Interfacing with Sklearn supervised models

This issue is more to keep track of things than to ask for help

https://scikit-learn.org/stable/modules/classes.html

Supervised models

Dummy models

?	Name	Has predict_proba?	comment
✅	DummyClassifier	yes
✅	DummyRegressor	no

Generalized Linear Models

https://scikit-learn.org/stable/modules/classes.html#module-sklearn.linear_model

?	Name	Has predict_proba?	comment
✅	ARDRegression	no
✅	BayesianRidge	no
✅	ElasticNet	no	1
✅	ElasticNetCV	no	1
✅	HuberRegressor	no
✅	Lars	no	1
✅	LarsCV	no	1
✅	Lasso	no	1
✅	LassoCV	no	1
✅	LassoLars	no	1
✅	LassoLarsCV	no	1
✅	LassoLarsIC	no	1
✅	LinearRegression	no
✅	LogisticRegression	yes	2
✅	LogisticRegressionCV	yes	2
✅	MultiTaskLasso	no	1
✅	MultiTaskElasticNet	no	1
✅	MultiTaskLassoCV	no	1
✅	MultiTaskElasticNetCV	no	1
✅	OrthogonalMatchingPursuit	no
✅	OrthogonalMatchingPursuitCV	no
✅	PassiveAggressiveClassifier	no
✅	PassiveAggressiveRegressor	no
✅	Perceptron	no
✅	RANSACRegressor	no
✅	Ridge	no
✅	RidgeClassifier	no
✅	RidgeClassifierCV	no
✅	RidgeCV	no
✅	SGDClassifier	yes
✅	SGDRegressor	no
✅	TheilSenRegressor	no

could extract path
there's also predict_log_proba which we may want to interface with (?)

Gaussian Processes

?	Name	Has predict_proba?	comment
✅	GPClassifier	yes
✅	GPRegressor	no

Ensemble models

?	Name	Has predict_proba?	comment
✅	AdaboostClassif	yes
✅	AdaboostReg	no
✅	BaggingClassif	yes
✅	BaggingReg	no
✅	ExtraTreesClassif	yes
✅	ExtraTreesReg	no
✅	GDBClassif	yes
✅	GDBReg	no
✅	RFClassif	yes
✅	RFReg	no
❌	VotingClassif	no
❌	VotingReg	no
❌	HGBClassif	yes	experimental
❌	HGBReg	no	experimental

Simple models

?	Name	Has predict_proba?
✅	BernoulliNB	yes
✅	GaussianNB	yes
✅	MultinomialNB	yes
✅	ComplementNB	yes
✅	KNeighborsClassifier	yes
✅	KNeighborsRegressor	no
❌	RadiusNeighborsClassifier	no
❌	RadiusNeighborsRegressor	no
❌	NearestCentroid (classif)	no

NNs

?	Name	Has predict_proba?	comment
❌	MLPClassifier	yes
❌	MLPRegressor	no

SVMs

?	Name	Has predict_proba?
✅	LinearSVC	no
✅	LinearSVR	no
✅	NuSVC	no
✅	NuSVR	no
✅	SVC	no
✅	SVR	no

Exotic models

?	Name	Has predict_proba?
❌	IsotonicRegression	no
❌	KernelRidgeRegression	no
❌	BayesianGaussianMixture	yes
❌	GaussianMixture	yes
❌	CalibratedClassifierCV	yes

Description

Supervised models

Dummy models

Generalized Linear Models

Gaussian Processes

Ensemble models

Simple models

NNs

SVMs

Exotic models

Contributor guide

First steps

Assessment

Interfacing with Sklearn supervised models

Description

Supervised models

Dummy models

Generalized Linear Models

Gaussian Processes

Ensemble models

Simple models

NNs

SVMs

Exotic models

Contributor guide

First steps

Assessment

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